https://github.com/jbferet/prospect
R package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model. A tutorial can be found on the gitlab website
https://github.com/jbferet/prospect
leaf leaf-traits physical-modeling prospect spectroscopy
Last synced: about 1 month ago
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R package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model. A tutorial can be found on the gitlab website
- Host: GitHub
- URL: https://github.com/jbferet/prospect
- Owner: jbferet
- License: mit
- Created: 2020-08-24T06:37:20.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2026-02-18T15:04:00.000Z (4 months ago)
- Last Synced: 2026-05-06T23:03:37.319Z (about 2 months ago)
- Topics: leaf, leaf-traits, physical-modeling, prospect, spectroscopy
- Language: R
- Homepage: https://jbferet.gitlab.io/prospect/
- Size: 10.3 MB
- Stars: 23
- Watchers: 2
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# __prospect__ 
# An R package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model.
[](https://www.r-project.org/Licenses/MIT)
[](https://gitlab.com/jbferet/prospect/pipelines/latest)
[](https://doi.org/10.21105/joss.06027)
# 1 Install
After installing package `devtools`, the package `prospect` can be installed with the following command line in R session:
```
devtools::install_github("jbferet/prospect")
```
**WARNING : ** **many functions have been renamed in v2.0 of the package.**
**The documentation has been updated accordingly.**
**Please refer to the documentation for additional information.**
# 2 Tutorial
A tutorial vignette is available [here](https://jbferet.gitlab.io/prospect/articles/prospect1.html).
# 3 Acknowledgments / Fundings
This research was supported by the Agence Nationale de la Recherche ([ANR](https://anr.fr/en/open-calls-and-preannouncements/), France) through the young researchers project **BioCop** (ANR-17-CE32-0001)
# 4 Citation
If you use **prospect**, please cite the following references for PROSPECT-PRO and PROSPECT-D:
Féret, J.-B. & de Boissieu, F. (2024). `prospect`: an R package to link leaf optical properties with their chemical and structural properties with the leaf model PROSPECT. Journal of Open Source Software, 9(94), 6027, https://doi.org/10.21105/joss.06027
Féret, J.-B., Berger, K., de Boissieu, F. & Malenovský, Z. (2021). PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents. Remote Sensing of Environment. 252, 112173. https://doi.org/10.1016/j.rse.2020.112173
Féret, J.-B., Gitelson, A.A., Noble, S.D. & Jacquemoud, S. (2017). PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle. Remote Sensing of Environment. 193, 204–215. http://dx.doi.org/10.1016/j.rse.2017.03.004
The inversion of PROSPECT using only directional-hemispherical reflectance or directional-hemispherical transmittance, and prior estimation of N is explained here:
Spafford, L., le Maire, G., MacDougall, A., de Boissieu, F. & Féret, J.-B. (2021). Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone. Remote Sensing of Environment. 252, 112176. https://doi.org/10.1016/j.rse.2020.112176